Artificial Intelligence Engineer

Key

• Design and develop enterprise-scale agentic AI solutions using LangGraph and related frameworks

• Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an emphasis on accuracy, latency, and reliability.

• Architect multi-step reasoning workflows that integrate with existing enterprise systems and APIs

• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions

• Ensure AI implementations meet enterprise security, compliance, and governance standards

• Optimize system performance and cost efficiency across multiple LLM providers

• Mentor junior developers and contribute to AI development best practices • Partner with DevOps teams to ensure reliable production deployments.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related technical field

• 3-5 years of software development experience with demonstrated expertise in AI/ML technologies

• Strong proficiency in Python with experience in asynchronous programming patterns

• Proven track record of implementing production LLM integrations (OpenAI, Anthropic, Azure OpenAI, etc.)

• Hands-on experience with RAG system development including vector databases, embedding models, and retrieval optimization

• Knowledge of enterprise software architecture patterns and API integration best practices

• Understanding of AI governance, security, and ethical AI principles

• Strong understanding of prompt engineering techniques and LLM behavior optimization

Preferred Qualifications:

• Experience with agent frameworks (LangChain/LangGraph preferred) and multi-step reasoning implementations.